02/15/2013

Population-based
data sources such as national surveys and administrative claims data are
valuable resources for testing hypotheses and generating national-level
estimates about disability and rehabilitation related-issues. Unfortunately, it
can be difficult to identify what datasets are available and further what data
are most appropriate for addressing a specific research interest. This
presentation will introduce two new innovative web-based free resources
designed to help researchers learn:

• What datasets related to disability and
rehabilitation are out there?

• What topics are covered in each dataset?

• What
are the dataset strengths and limitations?

• How do I access the datasets?

Here are the details:

Title: New Research Tools for Exploring Disability and
Rehabilitation Related Datasets

The tools were developed by the Employment and Disability Institute at Cornell
University in collaboration with the Center for Rehabilitation Research using
Large Datasets (CRRLD) at University of Texas Medical Branch. This work was
funded by the Eunice Kennedy Shriver National Institute of Child Health and
Human Development and is part of the Medical Rehabilitation Infrastructure
Network (Grant # R24 HD065702).

Comments

Population-based
data sources such as national surveys and administrative claims data are
valuable resources for testing hypotheses and generating national-level
estimates about disability and rehabilitation related-issues. Unfortunately, it
can be difficult to identify what datasets are available and further what data
are most appropriate for addressing a specific research interest. This
presentation will introduce two new innovative web-based free resources
designed to help researchers learn:

• What datasets related to disability and
rehabilitation are out there?

• What topics are covered in each dataset?

• What
are the dataset strengths and limitations?

• How do I access the datasets?

Here are the details:

Title: New Research Tools for Exploring Disability and
Rehabilitation Related Datasets

The tools were developed by the Employment and Disability Institute at Cornell
University in collaboration with the Center for Rehabilitation Research using
Large Datasets (CRRLD) at University of Texas Medical Branch. This work was
funded by the Eunice Kennedy Shriver National Institute of Child Health and
Human Development and is part of the Medical Rehabilitation Infrastructure
Network (Grant # R24 HD065702).